US 11,925,446 B2
Radar-based classification of vehicle occupants
Mariana Sarely, Netanya (IL); Robin Olschewski, Ramat Gan (IL); and Tsachi Rosenhouse, Kiryat Ono (IL)
Filed by VAYYAR IMAGING LTD., Yehud (IL)
Filed on Sep. 27, 2020, as Appl. No. 17/033,801.
Application 17/033,801 is a continuation in part of application No. 16/983,004, filed on Aug. 3, 2020, granted, now 11,033,194.
Application 16/983,004 is a continuation of application No. 16/282,650, filed on Feb. 22, 2019, granted, now 10,729,339.
Claims priority of provisional application 63/056,629, filed on Jul. 26, 2020.
Claims priority of provisional application 62/906,182, filed on Sep. 26, 2019.
Claims priority of provisional application 62/689,260, filed on Jun. 25, 2018.
Claims priority of provisional application 62/633,676, filed on Feb. 22, 2018.
Prior Publication US 2021/0052176 A1, Feb. 25, 2021
Int. Cl. A61B 5/024 (2006.01); A61B 5/08 (2006.01); G01S 7/41 (2006.01); G01S 13/42 (2006.01)
CPC A61B 5/02444 (2013.01) [A61B 5/02405 (2013.01); A61B 5/0816 (2013.01); G01S 7/41 (2013.01); G01S 13/42 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for detecting occupants in a vehicle cabin comprising:
for each of a plurality of times, using an array of transmitting and receiving elements to generate a set of complex values associated with voxels having coordinates within the vehicle cabin;
converting each set of complex values into a 3D complex image representing multiple seats within the vehicle cabin;
clustering the coordinates of the voxels in the 3D complex image representing multiple seats within the vehicle cabin into one or more clusters;
associating each cluster with a different seat in the vehicle;
analyzing the clusters to determine presence of one or more occupants inside the vehicle; and
using geometrical data of the vehicle regarding the position of the different seats to determine which seats in the vehicle are occupied.